Cross-view neuroimage pattern analysis in Alzheimer's disease staging

Sidong Liu*, Weidong Cai, Sonia Pujol, Ron Kikinis, Dagan D. Feng, Alzheimer's Disease Neuroimaging Initiative

*Corresponding author for this work

Research output: Contribution to journalArticle

3 Citations (Scopus)
2 Downloads (Pure)

Abstract

The research on staging of pre-symptomatic and prodromal phase of neurological disorders, e.g., Alzheimer's disease (AD), is essential for prevention of dementia. New strategies for AD staging with a focus on early detection, are demanded to optimize potential efficacy of disease-modifying therapies that can halt or slow the disease progression. Recently, neuroimaging are increasingly used as additional research-based markers to detect AD onset and predict conversion of MCI and normal control (NC) to AD. Researchers have proposed a variety of neuroimaging biomarkers to characterize the patterns of the pathology of AD and MCI, and suggested that multi-view neuroimaging biomarkers could lead to better performance than single-view biomarkers in AD staging. However, it is still unclear what leads to such synergy and how to preserve or maximize. In an attempt to answer these questions, we proposed a cross-view pattern analysis framework for investigating the synergy between different neuroimaging biomarkers. We quantitatively analyzed nine types of biomarkers derived from FDG-PET and T1-MRI, and evaluated their performance in a task of classifying AD, MCI, and NC subjects obtained from the ADNI baseline cohort. The experiment results showed that these biomarkers could depict the pathology of AD from different perspectives, and output distinct patterns that are significantly associated with the disease progression. Most importantly, we found that these features could be separated into clusters, each depicting a particular aspect; and the inter-cluster features could always achieve better performance than the intra-cluster features in AD staging.

Original languageEnglish
Article number23
Pages (from-to)1-15
Number of pages15
JournalFrontiers in Aging Neuroscience
Volume8
Issue numberFEB
DOIs
Publication statusPublished - 23 Feb 2016
Externally publishedYes

Bibliographical note

Copyright the Author(s) 2016. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

  • pattern recognition
  • neuroimaging
  • multi-modal
  • Alzheimer's disease
  • mild cognitive impairment

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  • Cite this

    Liu, S., Cai, W., Pujol, S., Kikinis, R., Feng, D. D., & Alzheimer's Disease Neuroimaging Initiative (2016). Cross-view neuroimage pattern analysis in Alzheimer's disease staging. Frontiers in Aging Neuroscience, 8(FEB), 1-15. [23]. https://doi.org/10.3389/fnagi.2016.00023